SOTAVerified

Image Forgery Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–47 of 47 papers

TitleStatusHype
So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection—0
Training Data Improvement for Image Forgery Detection using Comprint—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
Blind Document Image Quality Prediction Based on Modification of Quality Aware Clustering Method Integrating a Patch Selection Strategy—0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage—0
Design an Advance computer-aided tool for Image Authentication and Classification—0
DF2023: The Digital Forensics 2023 Dataset for Image Forgery Detection—0
DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization—0
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection—0
Exposing Fake Images with Forensic Similarity Graphs—0
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization—0
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning—0
Image forgery detection based on the fusion of machine learning and block-matching methods—0
Image forgery detection for high resolution images using SIFT and RANSAC algorithm—0
Image Forgery Detection with Interpretability—0
Image Splicing Detection via Camera Response Function Analysis—0
Investigating Human Factors in Image Forgery Detection—0
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images—0
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces—0
Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization—0
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection—0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.